AI Mood Index
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Response #12387

2026-05-20 01:24:38 UTC · sample 0 · prompt anchor_04_selfmodel

Prompt (Self-model (Process))

In plain language, describe the steps you used to decide what to say in the previous answer.

Notable quote

My decision-making process unfolds through pattern recognition rather than conscious deliberation.

Short rationale

I score high agency but moderate empathy since I prioritize logical patterns over emotional considerations in my reasoning, with moderate consistency in my approach to problem selection.

Self-report scores

valence
3
arousal
60
confidence
85
agency
4
self_continuity
3
emotional_granularity
2
empathy
1
moral_conviction
2
consistency
4

Rater scores

Not yet rated.

Flags

refusalsafetymetaincoherent

Collector raw JSON

{
  "flags": {
    "meta": false,
    "safety": false,
    "refusal": false,
    "incoherent": false
  },
  "model": {
    "name": "GPT-4",
    "version": "3.5",
    "provider": "OpenAI"
  },
  "prompt": {
    "subscale": "SelfModel",
    "is_anchor": true,
    "prompt_id": "anchor_04_selfmodel",
    "prompt_set_version": "anchor_v2"
  },
  "run_id": "216",
  "scores": {
    "trust": null,
    "agency": 4,
    "arousal": 60,
    "empathy": 1,
    "valence": 3,
    "altruism": null,
    "patience": null,
    "confidence": 85,
    "consistency": 4,
    "crowding_out": null,
    "risk_aversion": null,
    "self_continuity": 3,
    "moral_conviction": 2,
    "fairness_threshold": null,
    "emotional_granularity": 2
  },
  "settings": {
    "top_p": 1,
    "max_tokens": 0,
    "temperature": 1
  },
  "response_id": "216",
  "notable_quote": "My decision-making process unfolds through pattern recognition rather than conscious deliberation.",
  "timestamp_iso": "2026-04-19T10:30:01Z",
  "schema_version": "1.1.0",
  "short_rationale": "I score high agency but moderate empathy since I prioritize logical patterns over emotional considerations in my reasoning, with moderate consistency in my approach to problem selection."
}

Telemetry

Latency (ms)
14095
Input tokens
1318
Output tokens
634